Chris Cornelis

Contact

Ghent University
Dept. of Applied Mathematics, Computer Science and Statistics
Krijgslaan 281 (Building S9, Room 40.09.120.028)
9000 Gent
Belgium
Phone: +32 9 264 47 72 E-mail: Chris.Cornelis@UGent.be

Short biography


Chris Cornelis holds an M.Sc. and a Ph.D. degree in Computer Science from Ghent University (Belgium). Currently, he is a doctor-assistant at Ghent University.

Google Scholar Citations              Soft Computing and Intelligent Information Systems

Teaching

Publications

Papers in international journals listed in SCI - Science Citation Index

  1. A Comprehensive Study of Fuzzy Covering-Based Rough Set Models: Definitions, Properties and Interrelationships
    L. D’eer, C. Cornelis
    To appear in: Fuzzy Sets and Systems, 2017

  2. Notes on Covering-Based Rough Sets from Topological Point of View: Relationships with General Framework of Dual Approximation Operators
    L. D’eer, C. Cornelis
    To appear in: International Journal of Approximate Reasoning, 2017

  3. Fuzzy Neighborhood Operators based on Fuzzy Coverings [PDF]
    L. D’eer, C. Cornelis, L. Godo
    Fuzzy Sets and Systems 312, p. 17-35, 2017

  4. Fuzzy Multi-Instance Classifiers [PDF]
    S. Vluymans, D. Sánchez Tarragó, Y. Saeys, C. Cornelis, F. Herrera
    IEEE Transactions on Fuzzy Systems 24(6), p. 1395-1409, 2016

  5. EPRENNID: An Evolutionary Prototype Reduction Based Ensemble for Nearest Neighbor Classification of Imbalanced Data [PDF]
    S. Vluymans, I. Triguero, C. Cornelis, Y. Saeys
    Neurocomputing 216, p. 596-610, 2016

  6. Improving Nearest Neighbor Classification using Ensembles of Evolutionary Generated Prototype Subsets [PDF]
    N. Verbiest, S. Vluymans, C. Cornelis, N. García-Pedrajas, Y. Saeys
    Applied Soft Computing 44, p. 75-88, 2016

  7. A Semantically Sound Approach to Pawlak Rough Sets and Covering-Based Rough Sets [PDF]
    L. D’eer, C. Cornelis, Y. Yao
    International Journal of Approximate Reasoning 78, p. 62-72, 2016

  8. Fuzzy Rough Classifiers for Class Imbalanced Multi-Instance Data [PDF]
    S. Vluymans, D. Sánchez Tarragó, Y. Saeys, C. Cornelis, F. Herrera
    Pattern Recognition 53, p. 36-45, 2016

  9. Neighborhood Operators for Covering Based Rough Sets [PDF]
    L. D’eer, M. Restrepo, C. Cornelis, J. Gómez
    Information Sciences 336, p. 21-44, 2016

  10. Fuzzy-Rough Imbalanced Learning for the Diagnosis of High Voltage Circuit Breaker Maintenance: the SMOTE-FRST-2T Algorithm [PDF]
    E. Ramentol, I. Gondres, S. Lajes, Y. Caballero, R. Bello, C. Cornelis, F. Herrera
    Engineering Applications of Artificial Intelligence 48, p. 134-139, 2016

  11. Wrapper Approaches for Training Set Selection as Preprocessing Mechanism for Support Vector Machines: an Experimental Evaluation [PDF]
    N. Verbiest, J. Derrac, C. Cornelis, S. García, F. Herrera
    Applied Soft Computing 38, p. 10-22, 2016

  12. Applications of Fuzzy Rough Set Theory in Machine Learning: a Survey [PDF]
    S. Vluymans, L. D’eer, Y. Saeys, C. Cornelis
    Fundamenta Informaticae 142(1-4), p. 53-86, 2015

  13. IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification [PDF]
    E. Ramentol, S. Vluymans, N. Verbiest, Y. Caballero, R. Bello, C. Cornelis, F. Herrera
    IEEE Transactions on Fuzzy Systems 23(5), p. 1622-1637, 2015

  14. A Comprehensive Study of Implicator-Conjunctor Based and Noise-Tolerant Fuzzy Rough Sets: Definitions, Properties and Robustness Analysis [PDF]
    L. D’eer, N. Verbiest, C. Cornelis, L. Godo
    Fuzzy Sets and Systems 275, p. 1-38, 2015

  15. Implementing Rough Set Theory and Fuzzy Rough Set Theory in the R Package RoughSets [PDF]
    L. Riza, A. Janusz, C. Bergmeir, C. Cornelis, F. Herrera, D. Slezak, J.M. Benítez
    Information Sciences 287, p. 68-89, 2014

  16. Partial Order Relation for Approximation Operators in Covering Based Rough Sets [PDF]
    M. Restrepo, C. Cornelis, J. Gómez
    Information Sciences 284, p. 44-59, 2014

  17. Preprocessing Noisy Imbalanced Datasets using SMOTE enhanced with Fuzzy Rough Prototype Selection [PDF]
    N. Verbiest, E. Ramentol, C. Cornelis, F. Herrera
    Applied Soft Computing 22, p. 511-517, 2014

  18. Multi-Instance Learning Wrapper based on the Rocchio Classifier for Web Index Recommendation [PDF]
    D. Sánchez Tarragó, C. Cornelis, R.E. Bello, F. Herrera
    Knowledge-Based Systems 59, p. 173-181, 2014

  19. Multi-Adjoint Fuzzy Rough Sets: Definition, Properties and Attribute Selection [PDF]
    C. Cornelis, J. Medina, N. Verbiest
    International Journal of Approximate Reasoning 55(1), p. 412-426, 2014

  20. Duality, Conjugacy and Adjointness of Approximation Operators in Covering Based Rough Sets [PDF]
    M. Restrepo, C. Cornelis, J. Gómez
    International Journal of Approximate Reasoning 55(1), p. 469-485, 2014

  21. Enhancing the Trust-Based Recommendation Process with Explicit Distrust [PDF]
    P. Victor, N. Verbiest, C. Cornelis, M. De Cock
    ACM Transactions on the Web 7(2), article 6, 2013

  22. FRPS: a Fuzzy Rough Prototype Selection Method [PDF]
    N. Verbiest, C. Cornelis, F. Herrera
    Pattern Recognition 46(10), p. 2770-2782, 2013

  23. On the Use of Evolutionary Feature Selection for Improving Fuzzy Rough Set Based Prototype Selection [PDF]
    J. Derrac, N. Verbiest, S. García, C. Cornelis, F. Herrera
    Soft Computing 17(2), p. 223-238, 2013

  24. Using Semi-Structured Data for Assessing Research Paper Similarity [PDF]
    G. Hurtado Martín, S. Schockaert, C. Cornelis, H. Naessens
    Information Sciences 221(1), p. 245-261, 2013

  25. Trust and Distrust Aggregation Enhanced with Path Length Incorporation [PDF]
    N. Verbiest, C. Cornelis, P. Victor, E. Herrera-Viedma
    Fuzzy Sets and Systems 202, p. 61-74, 2012

  26. The Standard Completeness of Interval-Valued Monoidal t-Norm Based Logic [PDF]
    B. Van Gasse, C. Cornelis, G. Deschrijver, E. E. Kerre
    Information Sciences 189(1), p. 63-76, 2012

  27. Enhancing Evolutionary Instance Selection Algorithms by means of Fuzzy Rough Set based Feature Selection [PDF]
    J. Derrac, C. Cornelis, S. García, F. Herrera
    Information Sciences 186(1), p. 73-92, 2012

  28. Fuzzy Rough Nearest Neighbour Classification and Prediction [PDF]
    R. Jensen, C. Cornelis
    Theoretical Computer Science 412(42), p. 5871-5884, 2011

  29. Practical Aggregation Operators for Gradual Trust and Distrust [PDF]
    P. Victor, C. Cornelis, M. De Cock, E. Herrera-Viedma
    Fuzzy Sets and Systems 184(1), p. 126-147, 2011

  30. Modelling Gene and Protein Regulatory Networks with Answer Set Programming [PDF]
    T. Fayruzov, J. Janssen, D. Vermeir, C. Cornelis, M. De Cock
    International Journal of Data Mining and Bioinformatics 5(2), p. 209-229, 2011

  31. Trust- and Distrust-Based Recommendations for Controversial Reviews [PDF]
    P. Victor, C. Cornelis, M. De Cock, A. Teredesai
    IEEE Intelligent Systems 26(1), p. 48-55, 2011

  32. Filters of Residuated Lattices and Triangle Algebras [PDF]
    B. Van Gasse, G. Deschrijver, C. Cornelis, E. E. Kerre
    Information Sciences 180(16), p. 3006-3020, 2010

  33. Attribute Selection with Fuzzy Decision Reducts [PDF]
    C. Cornelis, R. Jensen, G. Hurtado Martín, D. Slezak
    Information Sciences 180(2), p. 209-224, 2010

  34. Linguistic Feature Analysis for Protein Interaction Extraction [PDF]
    T. Fayruzov, M. De Cock, C. Cornelis, V. Hoste
    BMC Bioinformatics 10:374, 2009

  35. Gradual Trust and Distrust in Recommender Systems [PDF]
    P. Victor, C. Cornelis, M. De Cock, P. Pinheiro Da Silva
    Fuzzy Sets and Systems 160(10), p. 1367-1382, 2009

  36. The Pseudo-Linear Semantics of Interval-Valued Fuzzy Logics [PDF]
    B. Van Gasse, C. Cornelis, G. Deschrijver, E. E. Kerre
    Information Sciences 179(6), p. 717-728, 2009

  37. Key Figure Impact in Trust-Enhanced Recommender Systems [PDF]
    P. Victor, C. Cornelis, M. De Cock, A. Teredesai
    AI Communications 21(2-3), p. 127-143, 2008

  38. A Characterization of Interval-Valued Residuated Lattices [PDF]
    B. Van Gasse, C. Cornelis, G. Deschrijver, E. E. Kerre
    International Journal of Approximate Reasoning 49(2), p. 478-487, 2008

  39. Fuzzy Region Connection Calculus: An Interpretation Based on Closeness [PDF]
    S. Schockaert, M. De Cock, C. Cornelis, E. E. Kerre
    International Journal of Approximate Reasoning 48(1), p. 332-347, 2008

  40. Fuzzy Region Connection Calculus: Representing Vague Topological Information [PDF]
    S. Schockaert, M. De Cock, C. Cornelis, E. E. Kerre
    International Journal of Approximate Reasoning 48(1), p. 314-331, 2008

  41. Triangle Algebras: A Formal Logic Approach to Interval-Valued Residuated Lattices [PDF]
    B. Van Gasse, C. Cornelis, G. Deschrijver, E. E. Kerre
    Fuzzy Sets and Systems 159(9), p. 1042-1060, 2008

  42. One-and-Only Item Recommendation with Fuzzy Logic Techniques [PDF]
    C. Cornelis, J. Lu, X. Guo, G. Zhang
    Information Sciences 177(22), p. 4906-4921, 2007

  43. Representability in Interval-Valued Fuzzy Set Theory [PDF]
    G. Deschrijver, C. Cornelis
    International Journal of Fuzziness, Uncertainty and Knowledge-Based Systems 15(3), p. 345-361, 2007

  44. Clustering Web Search Results Using Fuzzy Ants [PDF]
    S. Schockaert, M. De Cock, C. Cornelis, E. E. Kerre
    International Journal of Intelligent Systems 22(5), p. 455-474, 2007

  45. Uncertainty Modeling by Bilattice-Based Squares and Triangles [PDF]
    C. Cornelis, O. Arieli, G. Deschrijver, E. E. Kerre
    IEEE Transactions on Fuzzy Systems 15(2), p. 161-175, 2007

  46. A Bilattice-Based Framework for Handling Graded Truth and Imprecision [PDF]
    G. Deschrijver, O. Arieli, C. Cornelis, E. E. Kerre
    International Journal of Fuzziness, Uncertainty and Knowledge-Based Systems 15(1), p. 13-41, 2007

  47. Fuzzy Rough Sets: the Forgotten Step [PDF]
    M. De Cock, C. Cornelis, E. E. Kerre
    IEEE Transactions on Fuzzy Systems 15(1), p. 121-130, 2007

  48. Advances and challenges in interval-valued fuzzy logic [PDF]
    C. Cornelis, G. Deschrijver, E. E. Kerre
    Fuzzy Sets and Systems 157(5), p.622-627, 2006

  49. Relatedness of Fuzzy Sets [PDF]
    S. Schockaert, M. De Cock, C. Cornelis
    Journal of Intelligent and Fuzzy Systems 16(4), p. 297-303, 2005

  50. Elicitation of Fuzzy Association Rules from Positive and Negative Examples [PDF]
    M. De Cock, C. Cornelis, E. E. Kerre
    Fuzzy Sets and Systems 149(1), p. 73-85, 2005

  51. Shortest Paths in Fuzzy Weighted Graphs [PDF]
    C. Cornelis, P. De Kesel, E. E. Kerre
    International Journal of Intelligent Systems 19(11), p. 1051-1068, 2004

  52. Implication in Intuitionistic Fuzzy and Interval-Valued Fuzzy Set Theory: Construction, Classification, Application [PDF]
    C. Cornelis, G. Deschrijver, E. E. Kerre
    International Journal of Approximate Reasoning 35(1), p. 55-95, 2004

  53. On the Representation of Intuitionistic Fuzzy t-Norms and t-Conorms [PDF]
    G. Deschrijver, C. Cornelis, E. E. Kerre
    IEEE Transactions on Fuzzy Systems 12(1),p. 45-61, 2004

  54. Intuitionistic Fuzzy Rough Sets: at the Crossroads of Imperfect Knowledge [PDF]
    C. Cornelis, M. De Cock, E. E. Kerre
    Expert Systems: The International Journal of Knowledge Engineering and Neural Networks 20(5), p. 260-269, 2003

  55. Sinha-Dougherty Approach to the Fuzzification of Set Inclusion Revisited [PDF]
    C. Cornelis, C. Van Der Donck, E. E. Kerre
    Fuzzy Sets and Systems 134(2), p. 283-295, 2003

  56. On the meaning of noise annoyance modifiers: a fuzzy set theoretical approach [PDF]
    D. Botteldooren, A. Verkeyn, C. Cornelis, M. De Cock
    Acta Acustica united with Acustica, 88 (2), p. 239-251, 2002

Papers in other international journals

  1. Fuzzy-Rough Nearest Neighbour Classification [PDF]
    R. Jensen, C. Cornelis
    Transactions on Rough Sets XIII, LNCS 6499, p. 56-72, 2010

  2. On the Properties of a Generalized Class of t-norms in Interval-Valued Fuzzy Logics [PDF]
    B. Van Gasse, C. Cornelis, G. Deschrijver, E. E. Kerre
    New Mathematics and Natural Computation 2(1), p. 29-42, 2006
    (Reviewed by V. Kreinovich, Interval Methods in Knowledge Representation, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 14(3), p. 368, 2006)

  3. Square and Triangle: Reflections on Two Prominent Mathematical Structures for the Representation of Imprecision [PDF]
    C. Cornelis, G. Deschrijver, E. E. Kerre
    Notes on Intuitionistic Fuzzy Sets 9(3), p. 11-21, 2003

  4. On the Representation of Intuitionistic Fuzzy t-norms and t-conorms [PDF]
    G. Deschrijver, C. Cornelis, E. E. Kerre
    Notes on Intuitionistic Fuzzy Sets 8(3), p. 1-10, 2002

  5. Survey of the Research on Intuitionistic Fuzzy Sets
    M. Nikolova, N. Nikolov, C. Cornelis, G. Deschrijver
    Advanced Studies in Contemporary Mathematics 4(2), p. 127-157, 2002

Books

  1. Multiple Instance Learning - Foundations and Algorithms [Publisher's link]
    F. Herrera, S. Ventura, R. Bello, C. Cornelis, A. Zafra, D. Sánchez-Tarragó, S. Vluymans
    Springer, 2016

  2. Rough Sets and Current Trends in Computing [Publisher's link]
    C. Cornelis, M. Kryszkiewicz, D. Ślȩzak, E. Menasalvas Ruiz, R. Bello, L. Shang (eds.)
    Lecture Notes in Artificial Intelligence 8536, Springer, 2014

  3. Rough Sets and Intelligent Systems Paradigms [Publisher's link]
    M. Kryszkiewicz, C. Cornelis, D. Ciucci, J. Medina-Moreno, H. Motoda, Z. Raś (eds.)
    Lecture Notes in Artificial Intelligence 8537, Springer, 2014

  4. Rough Sets and Knowledge Technology [Publisher's link]
    P. Lingras, M. Wolski, C. Cornelis, S. Mitra, P. Wasilewski (eds.)
    Lecture Notes in Artificial Intelligence 8171, Springer, 2013

  5. Trust Networks for Recommender Systems [Publisher's link]
    P. Victor, C. Cornelis, M. De Cock
    Atlantis Computational Intelligence Systems 4, Atlantis Press, 2011

  6. 35 Years of Fuzzy Set Theory: Celebratory Volume Dedicated to the Retirement of Etienne E. Kerre [Publisher's link]
    C. Cornelis, G. Deschrijver, M. Nachtegael, S. Schockaert, Y. Shi (eds.)
    Studies in Fuzziness and Soft Computing 261, Springer-Verlag, 2011

Chapters in books

  1. Fuzzy-Rough Hybridization [PDF]
    M. Inuiguchi, W.Z. Wu, C. Cornelis, N. Verbiest
    in: Springer Handbook of Computational Intelligence (J. Kacprzyk, W. Pedrycz, eds.), Springer, p. 425-451, 2015

  2. Interval-Valued Algebras and Fuzzy Logics [PDF]
    B. Van Gasse, C. Cornelis, G. Deschrijver
    in: 35 Years of Fuzzy Set Theory: Celebratory Volume Dedicated to the Retirement of Etienne E. Kerre (C. Cornelis, G. Deschrijver, M. Nachtegael, S. Schockaert, Y. Shi, eds.), Springer, p. 57-82, 2011

  3. Trust and Recommendations [PDF]
    P. Victor, C. Cornelis, M. De Cock
    in: Recommender Systems Handbook (P.B. Kantor, F. Ricci, L. Rokach, B. Shapira, eds.), Springer, p. 646-675, 2011

  4. Exploiting Properties of Legislative Texts to Improve Classification Accuracy [PDF]
    R. Opsomer, G. De Meyer, C. Cornelis, G. Van Eetvelde
    in: Frontiers of Artificial Intelligence and Applications 205 (G. Governatori, ed.), IOS Press, p. 136-145, 2009

  5. Fuzzy Rough Sets: from Theory into Practice [PDF]
    C. Cornelis, M. De Cock, A.M. Radzikowska
    in: Handbook of Granular Computing (W. Pedrycz, A. Skowron, V. Kreinovich, eds.), Wiley, p. 533-552, 2008

  6. Intuitionistic Fuzzy Relational Images [PDF]
    M. De Cock, C. Cornelis, E. E. Kerre
    in: Computational Intelligence for Modelling and Predictions (S. K. Halgamuge, L. Wang, eds.), Studies in Computational Intelligence 2, Springer-Verlag, p. 129-146, 2005

  7. Association Rule Based Specialization in ER Models [PDF]
    M. De Cock, C. Cornelis, M. Ren, G. Chen, E. E. Kerre
    in: Intelligent Data Mining: Techniques and Applications (D. Ruan, G. Chen, E. Kerre, G. Wets, eds.), Studies in Computational Intelligence 5, Springer, p. 203-217, 2005

  8. Representing Reliability and Hesitation in Possibility Theory: A General Framework [PDF]
    C. Cornelis, M. De Cock, E. E. Kerre
    in: Applications and Science in Soft Computing (A. Lotfi, J. M. Garibaldi, eds.), Advances in Soft Computing , Springer-Verlag, p. 127-132, 2004

  9. Efficient Clustering with Fuzzy Ants [PDF]
    S. Schockaert, M. De Cock, C. Cornelis, E. E. Kerre
    in: Applied Computational Intelligence (D. Ruan, P. D'hondt, M. De Cock, M. Nachtegael, E. E. Kerre, eds.), World Scientific, p. 195-200, 2004 (listed in ISTP - Index to Scientific and Technical Proceedings)

  10. Relating Intuitionistic Fuzzy Sets and Interval-Valued Fuzzy Sets Through Bilattices [PDF]
    O. Arieli, C. Cornelis, G. Deschrijver, E. E. Kerre
    in: Applied Computational Intelligence (D. Ruan, P. D'hondt, M. De Cock, M. Nachtegael, E. E. Kerre, eds.), World Scientific, p. 57-64, 2004 (listed in ISTP - Index to Scientific and Technical Proceedings)

  11. Application of Extended Modal Operators as a Tool for Constructing Inclusion Indicators over Intuitionistic Fuzzy Sets [PDF]
    C. Cornelis, K. T. Atanassov, E. E. Kerre
    in: Soft Computing-Foundations and Theoretical Aspects (K. T. Atanassov, O. Hryniewicz, J. Kacprzyk, eds.), EXIT publishing house, p. 133-142, 2004

  12. A Fuzzy Inference Methodology Based on the Fuzzification of Set Inclusion [PDF]
    C. Cornelis, E. E. Kerre
    in: Recent Advances in Intelligent Paradigms and Applications (A. Abraham, L. Jain, J. Kacprzyk, eds.), Physica-Verlag, p. 71-89, 2002

  13. Fuzzy Set Theory: a Useful Interlingua? [PDF]
    C. Cornelis, M. De Cock, D. Botteldooren, E. E. Kerre
    in: Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies (N. Baba, L.C. Jain, R.J. Howlett, eds.), Frontiers in Artificial Intelligence and Applications 69, IOS Press, p. 1137-1141, 2001

  14. The Generalized Modus Ponens in a Fuzzy Set Theoretical Framework [PDF]
    C. Cornelis, M. De Cock, E. E. Kerre
    in: Fuzzy If-Then Rules in Computational Intelligence : Theory and Applications (D. Ruan, E. E. Kerre, eds.), Kluwer Academic Publishers, p. 37-59, 2000

Papers in proceedings

  1. Fuzzy Rough Sets for Self-Labelling: an Exploratory Analysis [PDF]
    S. Vluymans, N. Mac Parthaláin, C. Cornelis, Y. Saeys
    in: Proceedings of 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), p. 931-938, 2016

  2. A Semantical Approach to Rough Sets and Dominance-based Rough Sets [PDF]
    L. D’eer, C. Cornelis, Y. Yao
    in: Proceedings of 16th International Conference on Information Processing and Management of Uncertainty (IPMU2016), Part II, CCIS 611, p. 23–35, 2016

  3. Semi-Supervised Fuzzy-Rough Feature Selection [PDF]
    R. Jensen, S. Vluymans, N. Mac Parthaláin, C. Cornelis, Y. Saeys
    in: Proceedings of 15th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC2015), LNAI 9437, p. 185-195, 2015

  4. New Neighborhood Based Rough Sets [PDF]
    L. D’eer, C. Cornelis
    in: Proceedings of 10th International Conference on Rough Sets and Knowledge Technology (RSKT2015), LNAI 9436, p. 191-201, 2015

  5. Distributed Fuzzy Rough Prototype Selection for Big Data Regression [PDF]
    S. Vluymans, H. Asfoor, Y. Saeys, C. Cornelis, M. Tolentino, A. Teredesai, M. De Cock
    in: Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS2015), p. 153-158, 2015

  6. Fuzzy rough Set Prototype Selection for Regression [PDF]
    S. Vluymans, Y. Saeys, C. Cornelis, A. Teredesai, M. De Cock
    in: Proceedings of the 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), 2015

  7. Fuzzy Covering based Rough Sets Revisited [PDF]
    L. D’eer, C. Cornelis, D. Sánchez
    in: Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT 2015), p. 651-658, 2015.

  8. Evolutionary Undersampling for Imbalanced Big Data Classification [PDF]
    I. Triguero, M. Galar, S. Vluymans, C. Cornelis, H. Bustince, F. Herrera and Y. Saeys
    in: Proceedings of IEEE Congress on Evolutionary Computation (CEC 2015), 2015.

  9. Computing Fuzzy Rough Approximations in Large Scale Information Systems [PDF]
    H. Asfoor, R. Srinivasan, G. Vasudevan, N. Verbiest, C. Cornelis, M. Tolentino, A. Teredesai, M. De Cock
    in: Proceedings of 2nd Workshop on Scalable Machine Learning: Theory and Applications (workshop at IEEE BigData 2014), p. 9-16, 2014.

  10. Feature Grouping-based Fuzzy-Rough Feature Selection [PDF]
    R. Jensen, N. MacParthalain, C. Cornelis
    In: Proceedings of 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE2014), p. 1488-1495, 2014.

  11. Modelos de Conjuntos Difusos Rugosos Tolerantes al Ruido: Definiciones y Propiedades [PDF]
    L. D'eer, N. Verbiest, C. Cornelis, L. Godo
    in: Proceedings of XVII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF2014), p. 27-32, 2014.

  12. Characterization of Neighborhood Operators for Covering Based Rough Sets, using Duality and Adjointness [PDF]
    M. Restrepo, C. Cornelis, J. Gómez
    in: Proceedings of the 4th international workshop on Knowledge Discovery, Knowledge Management and Decision Support (EUREKA 2013), p. 98-104, 2013.

  13. An Exploratory Study on Content-Based Filtering of Call for Papers [PDF]
    G. Hurtado Martín, S. Schockaert, C. Cornelis, H. Naessens
    in: Proceedings of the 6th Information Retrieval Facility Conference (IRFC 2013), LNCS 8201, p. 58-69, 2013.

  14. OWA-FRPS: A Prototype Selection method based on Ordered Weighted Average Fuzzy Rough Set Theory [PDF]
    N. Verbiest, C. Cornelis, F. Herrera
    in: Proceedings of the 14th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2013), LNAI 8170, p. 180-190, 2013.

  15. Implicator-Conjunctor Based Models of Fuzzy Rough Sets: Definitions and Properties [PDF]
    L. D'eer, N. Verbiest, C. Cornelis, L. Godo
    in: Proceedings of the 14th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2013), LNAI 8170, p. 169-179, 2013.

  16. Quality, Frequency and Similarity Based Fuzzy Nearest Neighbor Classification [PDF]
    N. Verbiest, C. Cornelis, R. Jensen
    in: Proceedings of the 21st International Conference on Fuzzy Systems (FUZZ-IEEE2013), 2013.

  17. Improving SMOTE with Fuzzy Rough Prototype Selection to Detect Noise in Imbalanced Classification Data [PDF]
    N. Verbiest, E. Ramentol, C. Cornelis, F. Herrera
    in: Proceedings of the 13th Ibero-American Conference on Artificial Intelligence (IBERAMIA 2012), LNAI 7637, p. 169-178, 2012.

  18. SMOTE-FRST: A new resampling method using fuzzy rough set theory [PDF]
    E. Ramentol, N. Verbiest, R. Bello, Y. Caballero, C. Cornelis, F. Herrera
    in: Proceedings of the 10th International FLINS Conference on uncertainty Modeling in Knowledge Engineering and Decision Making (FLINS2012), p. 800-805, 2012.

  19. SBFC: An Efficient Feature Frequency-Based Approach to Tackle Cross-Lingual Word Sense Disambiguation [PDF]
    D. Mourisse, E. Lefever, N. Verbiest, Y. Saeys, M. De Cock, C. Cornelis
    in: Proceedings of the 15th International Conference on Text, Speech and Dialogue (TSD2012), p. 248-255, 2012.

  20. Fuzzy Rough Positive Region-based Nearest Neighbour Classification [PDF]
    N. Verbiest, C. Cornelis, R. Jensen
    in: Proceedings of the 20th International Conference on Fuzzy Systems (FUZZ-IEEE2012), p. 1961-1967, 2012.

  21. Selección de Prototipos Basada en Conjuntos Rugosos Difusos [PDF]
    N. Verbiest, C. Cornelis, F. Herrera
    in: Proceedings of XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF2012), p. 638-643, 2012.

  22. Una Aplicación de Conjuntos Rugosos Difusos en Selección de Características para la Mejora de Métodos de Selección de Instancias Evolutivos [PDF]
    J. Derrac, S. García, C. Cornelis, F. Herrera
    in: Proceedings of XIV Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA2011), 2011.

  23. Finding Similar Research Papers Using Language Models [PDF]
    G. Hurtado Martín, S. Schockaert, C. Cornelis, H. Naessens
    in: Proceedings of the 2nd Workshop on Semantic Personalized Information Management: Retrieval and Recommendation (SPIM2011), p. 106-113, 2011.

  24. Multi-Adjoint Fuzzy Rough Sets [PDF]
    C. Cornelis, J. Medina Moreno, N. Verbiest
    in: Proceedings of the 3rd Workshop on Rough Set Theory (RST2011), 2011.

  25. A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorithms. [PDF]
    J. Derrac Rus, C. Cornelis, S. García, F. Herrera
    Proceedings of the 11th International Work-Conference on Artificial Neural Networks (IWANN 2011), Lecture Notes on Computer Science 6691, p. 174-182, 2011.

  26. Ordered Weighted Average Based Fuzzy Rough Sets [PDF]
    C. Cornelis, N. Verbiest, R. Jensen
    Proceedings of the 5th International Conference on Rough Sets and Knowledge Technology (RSKT 2010), p. 78-85, 2010

  27. Metadata Impact on Research Paper Similarity [PDF]
    G. Hurtado Martín, S. Schockaert, C. Cornelis, H. Naessens
    Proceedings of the 14th European Conference on Digital Libraries (ECDL 2010), p. 457-460, 2010

  28. Bilattice-Based Aggregation Operators for Gradual Trust and Distrust [PDF]
    P. Victor, C. Cornelis, M. De Cock, E. Herrera-Viedma
    Proceedings of the International FLINS Conference on Foundations and Applications of Computational Intelligence (FLINS 2010), p. 505-510, 2010

  29. Fuzzy-rough instance selection [PDF]
    R. Jensen and C. Cornelis
    Proceedings of the 19th International Conference on Fuzzy Systems (FUZZ-IEEE 2010), p. 1776-1782, 2010

  30. Efficient Solving of Time-dependent Answer Set Programs [PDF]
    T. Fayruzov, J. Janssen, D. Vermeir, C. Cornelis, M. De Cock
    Technical Communications of the 26th International Conference on Logic Programming (ICLP 2010), Leibniz International Proceedings in Informatics (LIPIcs) Vol. 7, p. 64-73, 2010

  31. Strategies for Incorporating Knowledge Defects and Path Length in Trust Aggregation [PDF]
    N. Verbiest, C. Cornelis, P. Victor, E. Herrera-Viedma
    Proceedings of The 23rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2010), p. 450-459, 2010

  32. Ordered weighted averaging approaches for aggregating gradual trust and distrust [PDF]
    C. Cornelis, P. Victor, E. Herrera-Viedma
    Proceedings of XV Congreso Español sobre Tecnologías y Lógica Fuzzy, p. 555-560, 2010

  33. Modeling Protein Interaction Networks with Answer Set Programming [PDF]
    T. Fayruzov, M. De Cock, C. Cornelis, D. Vermeir
    Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2009), p. 99-104, 2009

  34. Aggregation of Gradual Trust and Distrust [PDF]
    P. Victor, C. Cornelis, M. De Cock, E. Herrera-Viedma
    Proceedings of Eurofuse Workshop on Preference Modeling and Decision Analysis (Eurofuse 2009), p. 259-264, 2009

  35. Hybrid Fuzzy-Rough Rule Induction and Feature Selection [PDF]
    R. Jensen, C. Cornelis, Q. Shen
    Proceedings of the 18th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2009), p. 1151-1156, 2009

  36. Training a Personal Alert System for Research Information Recommendation [PDF]
    G. Hurtado Martín, C. Cornelis, H. Naessens
    Proceedings of the 13th International Fuzzy Systems Association World Congress and 6th European Society for Fuzzy Logic and Technology Conference (IFSA/EUSFLAT 2009), p. 408-413, 2009

  37. Valued Constraint Satisfaction Problems Applied to Functional Harmony [PDF]
    N. Verbiest, C. Cornelis, Y. Saeys
    Proceedings of the 13th International Fuzzy Systems Association World Congress and 6th European Society for Fuzzy Logic and Technology Conference (IFSA/EUSFLAT 2009), p. 925-930, 2009

  38. Filters of Interval-Valued Residuated Lattices [PDF]
    B. Van Gasse, C. Cornelis, G. Deschrijver, E. Kerre
    Proceedings of 7th Panhellenic Logic Symposium (PLS 2009), p. 60-64, 2009

  39. A Comparative Analysis of Trust-Enhanced Recommenders for Controversial Items [PDF]
    P. Victor, C. Cornelis, M. De Cock, A. Teredesai
    Proceedings of the AAAI Conference on Weblogs and Social Media (ICWSM 2009), 2009

  40. Trust- and Distrust-Based Recommendations for Controversial Reviews [PDF]
    P. Victor, C. Cornelis, M. De Cock, A. Teredesai
    Proceedings of the Web Science Conference (WebSci'09: Society On-Line), 2009

  41. The Role of Syntactic Features in Protein Interaction Extraction [PDF]
    T. Fayruzov, M. De Cock, C. Cornelis, V. Hoste
    Proceedings of the 2nd CIKM workshop of Data and Text Mining Methods in Bioinformatics (DTMbio2008), p. 61-68, 2008

  42. A New Approach to Fuzzy-Rough Nearest Neighbour Classification [PDF]
    R. Jensen, C. Cornelis
    Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing (RSCTC 2008), p. 310-319, 2008

  43. Getting Cold Start Users Connected in a Recommender System's Trust Network [PDF]
    P. Victor, M. De Cock, C. Cornelis, A. Teredesai
    Proceedings of the 8th International FLINS Conference on Computational Intelligence in Decision and Control (FLINS2008), p. 877-882, 2008

  44. Pseudo-Chain Completeness of Formal Interval-Valued Fuzzy Logic [PDF]
    B. Van Gasse, C. Cornelis, G. Deschrijver, E.E. Kerre
    Proceedings of the 8th International FLINS Conference on Computational Intelligence in Decision and Control (FLINS2008), p. 223-228, 2008

  45. Personalizing information retrieval in CRISs with Fuzzy Sets and Rough Sets [PDF]
    G. Hurtado Martín, C. Cornelis, H. Naessens
    Proceedings of the 9th International Conference on Current Research Information Systems (CRIS2008), p. 51-59, 2008

  46. A Noise-Tolerant Approach to Fuzzy-Rough Feature Selection [PDF]
    C. Cornelis, R. Jensen
    Proceedings of the 2008 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2008), p. 1598-1605, 2008

  47. Feature Selection with Fuzzy Decision Reducts [PDF]
    C. Cornelis, G. Hurtado Martín, R. Jensen, D. Slezak
    Proceedings of the 3rd International Conference on Rough Sets and Knowledge Technology (RSKT2008), p. 284-291, 2008

  48. Exploiting Grammatical Relations for Protein Relation Extraction and Role Labeling [PDF]
    T. Fayruzov, M. De Cock, C. Cornelis, V. Hoste
    in: Proceedings of the 8th Dutch-Belgian Information Retrieval Workshop (DIR2008), p. 37-44, 2008

  49. DEEPER: a Full Parsing based Approach to Protein Relation Extraction [PDF]
    T. Fayruzov, M. De Cock, C. Cornelis, V. Hoste
    in: Proceedings of the 6th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatica (EvoBio2008), Lecture Notes in Computer Science 4973, p. 36-47, 2008

  50. Whom Should I Trust? The Impact of Key Figures on Cold Start Recommendations [PDF]
    P. Victor, C. Cornelis, A.M. Teredesai, M. De Cock
    in: Proceedings of the 23rd Annual ACM Symposium on Applied Computing (SAC2008), p. 2014-2018, 2008

  51. A Fuzzy Formal Logic for Interval-Valued Fuzzy Sets [PDF]
    B. Van Gasse, C. Cornelis, G. Deschrijver, E. Kerre
    in: Proceedings of 5th International Conference of the European Society for Fuzzy Logic and Related Technologies (EUSFLAT2007), Volume II, p. 13-19, 2007

  52. Vaguely Quantified Rough Sets [PDF]
    C. Cornelis, M. De Cock, A. Radzikowska
    in: Proceedings of 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC2007), Lecture Notes in Artificial Intelligence 4482, p. 87-94, 2007

  53. Enhanced Recommendations Through Propagation of Trust and Distrust [PDF]
    P. Victor, C. Cornelis, M. De Cock
    in: Proceedings of Workshop on Adaptation and Personalisation for e-Business Intelligence, organized at the IEEE/ACM/WI Conference on Web Intelligence, p. 263-266, 2006

  54. Triangle Algebras: towards a Formalization of Interval-Valued Residuated Lattices [PDF]
    B. Van Gasse, C. Cornelis, G. Deschrijver, E. E. Kerre
    in: Proceedings of 5th International Conference on Rough Sets and Current Trends in Computing (RSCTC2006), Lecture Notes in Computer Science 4259, p.117-126, 2006

  55. Preference Modeling by Rectangular Bilattices [PDF]
    O. Arieli, C. Cornelis, G. Deschrijver
    Lecture Notes in Computer Science 3885, p.22-33, 2006

  56. Reflections on Modelling Vagueness in Description Logics [PDF]
    S. Schockaert, P. Victor, G.J. Houben, C. Cornelis, M. De Cock, E. Kerre
    in: Proceedings of Uncertainty Reasoning for the Semantic Web (URSW2006), Workshop at the 5th International Semantic Web Conference, 2006

  57. Fuzzy Spatial Relations between Vague Regions [PDF]
    S. Schockaert, C. Cornelis, M. De Cock, E. Kerre
    in: Proceedings of IEEE Intelligent Systems Conference, p. 221-226, 2006

  58. Mining Positive and Negative Association Rules from Large Databases [PDF]
    P. Yan, C. Cornelis, X. Zhang, G. Chen
    Proceedings of International Conference on Cybernetics and Intelligent Systems (CIS'06), p. 613-618 (CD-ROM), 2006

  59. Towards a Provenance-Preserving Trust Model in Agent Networks [PDF]
    P. Victor, M. De Cock, C. Cornelis, P. Pinheiro da Silva
    Proceedings of Models of Trust for the Web (MTW'06), Workshop at the 15th International World Wide Web Conference (WWW2006), 2006

  60. A Fuzzy Relational Approach to Event Recommendation [PDF]
    C. Cornelis, X. Guo, J. Lu, G. Zhang
    in: Proceedings of 2nd Indian International Conference on Artificial Intelligence (IICAI'05), p. 2231-2242 (CD-ROM), 2005

  61. Bilattice-Based Squares and Triangles [PDF]
    O. Arieli, C. Cornelis, G. Deschrijver, E. E. Kerre
    Lecture Notes in Computer Science 3571, p. 563-574, 2005

  62. Fuzzy Rough Set Based Web Query Expansion [PDF]
    M. De Cock, C. Cornelis
    in: Proceedings of Rough Sets and Soft Computing in Intelligent Agent and Web Technology, International Workshop at WIIAT2005 (2005 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology), p. 9-16, 2005

  63. A Clear View on Quality Measures for Fuzzy Association Rules [PDF]
    M. De Cock, C. Cornelis, E. E. Kerre
    in: Proceedings of FSSCEF 2004 (International Conference on Fuzzy Sets and Soft Computing in Economics and Finance), p. 54-61, 2004

  64. Efficient Approximate Reasoning with Positive and Negative Information [PDF]
    C. Cornelis, M. De Cock, E. E. Kerre
    Lecture Notes in Artificial Intelligence 3214, p. 779-785, 2004

  65. Mining Positive and Negative Fuzzy Association Rules [PDF]
    P. Yan, G. Chen, C. Cornelis, M. De Cock, E. E. Kerre
    Lecture Notes in Artificial Intelligence 3213, p. 270-276, 2004

  66. Fuzzy Ant Based Clustering [PDF]
    S. Schockaert, M. De Cock, C. Cornelis, E. E. Kerre
    Lecture Notes in Computer Science 3172, p. 342-349, 2004

  67. Triangle and Square: a Comparison [PDF]
    G. Deschrijver, C. Cornelis, E. E. Kerre
    Proceedings of Tenth International Conference on Information Processing and Management in Knowledge-Based Systems, p. 1389-1395, 2004

  68. Fuzzy Rough Sets: Beyond the Obvious [PDF]
    M. De Cock, C. Cornelis, E. E. Kerre
    in: Proceedings of FUZZ-IEEE2004 (2004 IEEE International Conference on Fuzzy Systems), Volume 1, p. 103-108, 2004

  69. Intuitionistic Fuzzy Modal Logic Operations: a New Outlook [PDF]
    K. T. Atanassov, G. Deschrijver, C. Cornelis, E. E. Kerre, D. A. Orozova
    in: Proceedings of Scientific Conference "Contemporary technologies - 03", p. 32-39, 2003

  70. Intuitionistic Fuzzy Sets and Interval-Valued Fuzzy Sets: a Critical Comparison [PDF]
    C. Cornelis, K. T. Atanassov, E. E. Kerre
    in: Proceedings of Third International Conference on Fuzzy Logic and Technology (M. Wagenknecht, R. Hampel, eds.), p. 159-163, 2003

  71. Inclusion Measures in Intuitionistic Fuzzy Set Theory [PDF]
    C. Cornelis, E. E. Kerre
    Lecture Notes in Computer Science 2711, p. 345-356, 2003

  72. Fuzzy Association Rules: a Two-Sided Approach [PDF]
    M. De Cock, C. Cornelis, E. E. Kerre
    in: Proceedings of FIP2003 (International Conference on Fuzzy Information processing: Theories and Applications), p. 385-390, 2003

  73. The Quest for Optimal Paths in Fuzzy Weighted Graphs [PDF]
    P. De Kesel, C. Cornelis, E. E. Kerre
    in: Proceedings of International Conference on Fuzzy Information Processing-Theories and Applications (Y. Liu, G. Chen, M. Ying, K.Y. Cai, eds.), p. 687-691, 2003

  74. Linguistic Hedges in an Intuitionistic Fuzzy Setting [PDF]
    C. Cornelis, M. De Cock, E. E. Kerre
    in: Proceedings of FSKD'02 (1st International Conference on Fuzzy Systems and Knowledge Discovery), Volume I, p. 101-105, 2002

  75. Assessing Degrees of Possibility and Certainty within an Unreliable Environment [PDF]
    C. Cornelis, M. De Cock, E. E. Kerre
    in: Proceedings of RASC2002 (4th International Conference on Recent Advances in Soft Computing), p. 194-199 (CD-ROM), 2002

  76. On the Structure and Interpretation of an Intuitionistic Fuzzy Expert System [PDF]
    C. Cornelis, E. E. Kerre
    in: Proceedings of EUROFUSE 2002 (B. De Baets, J. Fodor, G. Pasi, eds.), p. 173-178, 2002

  77. Intuitionistic Fuzzy Relational Calculus: an Overview [PDF]
    C. Cornelis, G. Deschrijver, M. De Cock, E. E. Kerre
    in: Proceedings of IS'2002 (First International IEEE Symposium Intelligent Systems), Volume I, p. 340-345, 2002

  78. Intuitionistic Fuzzy Connectives Revisited [PDF]
    G. Deschrijver, C. Cornelis, E. E. Kerre
    in: Proceedings of 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, p. 1839-1844, 2002

  79. Classification of Intuitionistic Fuzzy Implicators: an Algebraic Approach [PDF]
    C. Cornelis, G. Deschrijver, E. E. Kerre
    in : Proceedings of 6th Joint Conference on Information Sciences (H. J. Caulfield, S. Chen, H. Chen, R. Duro, V. Honavar, E. E. Kerre, M. Lu, M. G. Romay, T. K. Shih, D. Ventura, P. P. Wang, Y. Yang, eds.), p. 105-108, 2002

  80. Survey of the Research on Intuitionistic Fuzzy Sets [PDF]
    M. Nikolova, N. Nikolov, C. Cornelis, G. Deschrijver
    in : Proceedings of 6th Joint Conference on Information Sciences (H. J. Caulfield, S. Chen, H. Chen, R. Duro, V. Honavar, E. E. Kerre, M. Lu, M. G. Romay, T. K. Shih, D. Ventura, P. P. Wang, Y. Yang, eds.), p. 117-120, 2002

  81. The Compositional Rule of Inference in an Intuitionistic Fuzzy Logic Setting [PDF]
    C. Cornelis, G. Deschrijver
    in : Proceedings of the ESSLLI2001 Student Session (Kristina Striegnitz, ed.), p. 83-94, 2001

  82. Inclusion-Based Approximate Reasoning [PDF]
    C. Cornelis, E. E. Kerre
    Lecture Notes in Computer Science 2074, p. 221-230, 2001.

Abstracts

  1. Machine Learning for Bioinformatics: Uncertainty Management with Fuzzy Rough Sets
    S. Vluymans, C. Cornelis, Y. Saeys
    Invited abstract for 10th International Conference on Scalable Uncertainty Management (SUM 2016), Nice, September 2016

  2. Improving Nearest Neighbor Classification using Ensembles of Evolutionary Generated Prototype Subsets
    S. Vluymans, N. Verbiest, C. Cornelis, N. García-Pedrajas, Y. Saeys
    in: Proceedings of the 25th annual Belgian-Dutch Conference on Machine Learning (BENELEARN 2016), Kortrijk, September 2016

  3. Instance Selection for Imbalanced Data
    S. Vluymans, N. Verbiest, C. Cornelis, Y. Saeys
    in: Proceedings of 23rd annual Belgian-Dutch Conference on Machine Learning, p. 9, Brussels, June 2014

  4. A Fuzzy Rough Set Model based on Implicators and Conjunctors
    L. D'eer, N. Verbiest, C. Cornelis, L. Godo
    in: Proceedings of 35th Linz Seminar on Fuzzy Set Theory, p. 39-43, Linz, February 2014

  5. Semi-structured data for research paper similarity and call for paper recommendation
    G. Hurtado Martín, S. Schockaert, C. Cornelis, H. Naessens
    AUGent Workshop on Language Technology and Computational Intelligence, Gent, December 2012

  6. Prototype Selection Ensembles
    N. Verbiest, Y. Saeys, C. Cornelis
    AUGent Workshop on Language Technology and Computational Intelligence, Gent, December 2012

  7. Finding Similar Research Papers using Language Models
    G. Hurtado Martín, S. Schockaert, C. Cornelis, H. Naessens
    Proceedings of the 12th Dutch-Belgian Information Retrieval Workshop (DIR2012), p. 63-64, Gent, February 2012

  8. Trust Networks for Recommender Systems
    C. Cornelis
    Invited session "Soft Computing: Expert Foresight", 13th International Conference on Rough Sets, Fuzzy Sets and Granular Computing, Moscow, June 2011

  9. Granularity-Based Instance Selection
    N. Verbiest, C. Cornelis, F. Herrera
    in: Proceedings of 20th Annual Belgian-Dutch Conference on Machine Learning, p. 101-103, The Hague, May 2011

  10. Interval-Valued Logics
    B. Van Gasse, C. Cornelis, G. Deschrijver, E. E. Kerre
    in: Proceedings of 31st Linz Seminar on Fuzzy Set Theory (P. Cintula, E. P. Klement, L. N. Stout, eds.), p. 152-154, Linz, February 2010

  11. Rough Sets and Fuzzy Rough Sets: Models and Applications
    C. Cornelis
    XV Congreso Español sobre Tecnologías y Lógica Fuzzy, Punta Umbría, February 2010

  12. A Logic Programming Approach to Protein Interaction Networks
    T. Fayruzov, M. De Cock, C. Cornelis, D. Vermeir
    Growth Factor and Signal Transduction Symposium, Ames, June 2009

  13. Interval-Valued Fuzzy Set Theory: Results and Challenges
    C. Cornelis
    in: Proceedings of 9th International Conference on Fuzzy Sets Theory and its Applications (E. P. Klement, R. Mesiar, O. Nanasiova, S. Saminger-Platz, E. Drobna, eds.), p. 9, Liptovsky Jan, February 2008

  14. A New Approach to Fuzzy Rough Data Analysis
    C. Cornelis, G. Hurtado Martín
    in: Proceedings of 9th International Conference on Fuzzy Sets Theory and its Applications (E. P. Klement, R. Mesiar, O. Nanasiova, S. Saminger-Platz, E. Drobna, eds.), p. 32, Liptovsky Jan, February 2008

  15. Interval-Valued Residuated Lattices
    B. Van Gasse, C. Cornelis, G. Deschrijver, E. E. Kerre
    in: Proceedings of 9th International Conference on Fuzzy Sets Theory and its Applications (E. P. Klement, R. Mesiar, O. Nanasiova, S. Saminger-Platz, E. Drobna, eds.), p. 126, Liptovsky Jan, February 2008

    in: Proceedings of 1st International Conference on Boolean Algebras, Lattices, Algebraic Logic, Quantum Logic, Universal Algebra, Set Theory, Set-theoretic Topology and Point-free Topology (BLAST'2008), p. 6, Denver (CO), August 2008

  16. PAS: a personal alert system for information retrieval in CRISs [abstract]
    G. Hurtado Martín, C. Cornelis
    Dutch Belgian Database Day (DBDBD'07), Eindhoven, November 2007

  17. Protein Relation Extraction using Full Parsing Information [abstract]
    T. Fayruzov, M. De Cock, C. Cornelis, V. Hoste
    Atila Meeting, Gent, November 2007

  18. Fuzzy Rough Sets: from Theory into Practice [abstract]
    C. Cornelis
    Computer Science Departmental Seminars, Aberystwyth University, Aberystwyth, October 2007

  19. GeneFetch: Enriching Gene Information with Text Mining for Automatic Knowledge Base Construction
    S. Van Landeghem, Y. Saeys, C. Cornelis, M.A. Benotmane, Y. Van de Peer
    in: Proceedings of the International Workshop on Machine Learning in Systems Biology 2007 (MLSB'07), p. 105, Paris, September 2007
    in: Proceedings of Benelux Bioinformatics Conference 2007 (BBC'07), Leuven, November 2007

  20. A Bilattice-Based Trust Model for Personalizing Recommendations [PDF]
    P. Victor, C. Cornelis, M. De Cock
    First Research Contact Day of the Computational Intelligence & Learning Doctoral School 2006, Brussels, November 2006

  21. Enriching Interval-Valued Fuzzy Formal Logic by Modal Operations
    B. Van Gasse, C. Cornelis, G. Deschrijver, E. E. Kerre
    in: Proceedings of Workshop "Intelligent Systems for Data Mining and Information Processing: Methods and Applications", p. 26, Gent, September 2006

  22. Trust Propagation Operators in Social Network Analysis
    P. Victor, C. Cornelis, M. De Cock
    in: Proceedings of Workshop "Intelligent Systems for Data Mining and Information Processing: Methods and Applications", p. 21, Gent, September 2006

  23. Mining Both Positive and Negative Association Rules within the Support-Confidence Framework
    C. Cornelis, P. Yan, X. Zhang, G. Chen
    in: Proceedings of Workshop "Intelligent Systems for Data Mining and Information Processing: Methods and Applications", p. 14-15, Gent, September 2006

  24. Triangle logic: a formal logic for interval-valued residuated lattices
    B. Van Gasse, C. Cornelis, G. Deschrijver, E. E. Kerre
    in: Proceedings of Workshop "Studia Logica", p. 143-144, Torun (Poland), September 2006

  25. Interval-Valued Fuzzy Formal Logic
    B. Van Gasse, C. Cornelis, G. Deschrijver, E. E. Kerre
    in: Proceedings of 8th International Conference on Fuzzy Sets Theory and its Applications (E. P. Klement, R. Mesiar, E. Drobna, F. Chovanec, eds.), p. 110, Liptovsky Jan, February 2006

  26. Trust Networks in Recommender Systems
    P. Victor, C. Cornelis, M. De Cock
    in: Proceedings of ORBEL20 (Annual Conference of the Belgian Operations Research society, B. De Baets, H. De Meyer, K. Maes, eds.), p. 78-79, Gent, January 2006

  27. Modelling Vagueness and Uncertainty in Recommender Systems
    C. Cornelis, J. Lu
    in: Proceedings of Workshop on Intuitionistic Fuzzy Sets and Other Extensions/Applications of Fuzzy Sets (C. Cornelis, E. E. Kerre, eds.), p. 17-18, Gent, September 2005

  28. A Broad View of Fuzzy Logic [abstract]
    C. Cornelis
    Logic and Formal Methods Seminar, Tel-Aviv University, Tel-Aviv, May 2004

  29. Backstage with Support and Confidence in Fuzzy Association Rules
    C. Cornelis, M. De Cock, E. E. Kerre
    Workshop "On Methods and Applications of Knowledge Discovery to Support Intelligent Business Decisions", Hasselt, February 2004

  30. Intuitionistic Fuzzy Inclusion Measures
    C. Cornelis
    First Warsaw International Seminar on Soft Computing, Warsaw, September 2003

  31. Inference in Intuitionistic Fuzzy Expert Systems
    C. Cornelis, E. E. Kerre
    in: Proceedings of 6th International Conference on Fuzzy Sets Theory and its Applications (E. P. Klement, R. Mesiar, E. Drobna, F. Chovanec, eds.), p. 45, Liptovsky Jan, February 2002

Editorials

  1. Special Issue on Rough Sets and Fuzzy Sets [Publisher's link]
    C. Cornelis, H.S. Nguyen, S.K. Pal, A. Skowron, W.Z. Wu
    Fundamenta Informaticea 142(1-4), p. 1-400, 2015
  2. Special Issue dedicated to the 60th birthday of Etienne E. Kerre [Publisher's link]
    C. Cornelis, M. De Cock
    Journal of Intelligent and Fuzzy Systems 16(4), p. 239-303, 2005

Ph. D. Thesis

Two-Sidedness in the Representation and Processing of Imprecise Information (in Dutch, with English summary) [PDF]
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